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GraphRAG: tg:Question → tg:Exploration → tg:Focus → tg:Synthesis Agent: tg:Question → tg:Analysis(s) → tg:Conclusion All entities also have their PROV-O type (prov:Activity or prov:Entity). Updated commit message: Add provenance recording to React agent loop Enables agent sessions to be traced and debugged using the same explainability infrastructure as GraphRAG. Entity types follow human reasoning patterns: - tg:Question - the user's query (shared with GraphRAG) - tg:Analysis - each think/act/observe cycle - tg:Conclusion - the final answer Also adds explicit TG types to GraphRAG entities: - tg:Question, tg:Exploration, tg:Focus, tg:Synthesis All types retain their PROV-O base types (prov:Activity, prov:Entity). Changes: - Add session_id and collection fields to AgentRequest schema - Add explainability entity types to namespaces.py - Create agent provenance triple generators - Register explainability producer in agent service - Emit provenance triples during agent execution - Update CLI tools to detect and render both trace types |
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